Cooperation strategies for agent-based P2P systems

Authors:
Loris Penserini;Lin Liu;John Mylopoulos;Maurizio Panti;Luca Spalazzi
Affiliations:
Computer Science Institute, University of Ancona, Via Brecce Bianche, 60131 - Ancona, Italy;Computer Science Department, University of Toronto, 40 St. George Street, M5S 2E4 - Toronto, Ontario, Canada;Computer Science Department, University of Toronto, 40 St. George Street, M5S 2E4 - Toronto, Ontario, Canada;Computer Science Institute, University of Ancona, Via Brecce Bianche, 60131 - Ancona, Italy;Computer Science Institute, University of Ancona, Via Brecce Bianche, 60131 - Ancona, Italy
Venue:
Web Intelligence and Agent Systems
Year:
2003

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Abstract

We are interested in peer-to-peer (P2P) computing, where a P2P application consists of a (wireless) network of nodes (peers), and assumes full peer autonomy, no global control, and intermittent connectivity. P2P computing has many advantages over classical client-server and web-based distributed architectures. However, the P2P computing model also has a number of limitations in the mechanisms it supports for data management and interchange. To overcome some of these, we propose an agent-based P2P model whose nodes are software agents (peer agents). This paper uses the i* modeling framework to analyze and evaluate peer agent cooperation strategies using three possible evaluation criteria.